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Unexpected mitochondrial genome diversity revealed by targeted single-cell genomics of heterotrophic flagellated protists.

Jeremy G WidemanAdam MonierRaquel Rodríguez-MartínezGuy LeonardEmily CookCamille PoirierFinlay MaguireDavid S MilnerNicholas A T IrwinKaren MooreAlyson E SantoroPatrick J KeelingAlexandra Z WordenThomas A Richards
Published in: Nature microbiology (2019)
Most eukaryotic microbial diversity is uncultivated, under-studied and lacks nuclear genome data. Mitochondrial genome sampling is more comprehensive, but many phylogenetically important groups remain unsampled. Here, using a single-cell sorting approach combining tubulin-specific labelling with photopigment exclusion, we sorted flagellated heterotrophic unicellular eukaryotes from Pacific Ocean samples. We recovered 206 single amplified genomes, predominantly from underrepresented branches on the tree of life. Seventy single amplified genomes contained unique mitochondrial contigs, including 21 complete or near-complete mitochondrial genomes from formerly under-sampled phylogenetic branches, including telonemids, katablepharids, cercozoans and marine stramenopiles, effectively doubling the number of available samples of heterotrophic flagellate mitochondrial genomes. Collectively, these data identify a dynamic history of mitochondrial genome evolution including intron gain and loss, extensive patterns of genetic code variation and complex patterns of gene loss. Surprisingly, we found that stramenopile mitochondrial content is highly plastic, resembling patterns of variation previously observed only in plants.
Keyphrases
  • oxidative stress
  • single cell
  • genome wide
  • microbial community
  • machine learning
  • copy number
  • high throughput
  • big data
  • deep learning
  • drug delivery
  • cancer therapy
  • data analysis